Build Real AI Products, Not Just Demos
We design and build production-ready AI systems for startups and growing businesses.
End-to-End AI Development
From planning to deployment, we turn AI ideas into working products, from a first MVP to a scalable platform.
From Idea to Production
Discovery
- Understand your business and goals
- Define scope and success metrics
MVP Build
- Build a working MVP in 4 to 6 weeks
- Focus on core features that deliver value
Launch
- Deploy a scalable and reliable system
- Ensure security and real-world performance
Scale & Improve
- Improve accuracy and performance
- Reduce costs and expand capabilities
Agile (Recommended)
We work in short iterations, delivering progress every 1 to 2 weeks. This allows you to see results early, give feedback, and adjust direction as needed.
- Startups and MVPs
- Evolving requirements
- Fast-paced projects
Waterfall
We define all requirements upfront and follow a clear, step-by-step plan from design to delivery. This approach works best when the scope is fixed.
- Well-defined projects
- Enterprise requirements
- Fixed scope and timeline
Built with Modern AI Infrastructure
We use proven tools across frontend, backend, AI, and cloud infrastructure to build systems that are stable and easy to evolve. We choose the right stack based on your needs, not trends.
Frontend
- Next.js
- React
- TypeScript
- Tailwind CSS
Mobile
- React Native
- Flutter
- Swift
- Kotlin
Backend
- Node.js
- NestJS
- FastAPI
- Laravel
AI & LLMs
- GPT
- Claude
- Gemini
- DeepSeek
- Ollama
Vector DB
- Pinecone
- Qdrant
- Weaviate
Database
- PostgreSQL
- MySQL
- MongoDB
- Redis
Cloud & DevOps
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
- CI/CD
AI Automation & Agents
- n8n
- Make
- Zapier
- LangChain
Built by Engineers, Not Just Prompts
Most AI demos fail when moving to production. We focus on building systems that actually work in real environments.
Prototype-only builds
- Works in demo, breaks with real users
- Good with test data, fails with real data
- Cannot scale beyond small usage
- No memory or system logic
- Security and data risks
- Hard to maintain or improve
Engineered for Production
- Works reliably with real users and edge cases
- Handles messy, real-world data correctly
- Scales with users, traffic, and data growth
- Supports workflows, memory, and complex logic
- Secure architecture and proper data handling
- Structured, maintainable, and easy to extend
Kien Duong
AI/ML Solutions Architect
Tien Vu
Fullstack Developer
Hiep Nguyen
Fullstack Developer
Trang Nong
Project Manager
Jack Bacik
Sales Manager
Linh Nguyen
Marketing Manager
Real Solutions, Built for Real Use
See how we turn ideas into working systems, from standard software to advanced AI solutions, taken from MVP to production.
Try Our AI in Action
Explore working demos that show how these systems perform in real products.
Flexible Pricing for Every Stage
Our pricing is flexible and can be tailored to your project, with added advantages for long-term collaboration.
Insights & Expertise
Explore our latest insights on AI, software development, and real-world applications. We share practical knowledge, trends, and lessons from building production systems.
Let’s Build Your AI Product
Tell us what you want to build, and we’ll help you define the fastest path to a working system. You can also speak directly with our team to explore your idea.
Talk to Sales
Connect with our sales team for quick answers and project discussion.
Jack Bacik
Sales Manager
Request a Quote
Tell us about your project to get a free quote. We’ll review and get back to you shortly.
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